| Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations R Border, JD Gammell, P Newman IEEE International Conference on Robotics and Automation (ICRA), 6116-6123, 2018 | 33 | 2018 |
| Proactive estimation of occlusions and scene coverage for planning next best views in an unstructured representation R Border, JD Gammell 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 14 | 2020 |
| The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning R Border, JD Gammell The International Journal of Robotics Research, 02783649241230098, 2022 | 3 | 2022 |
| Next best view planning with an unstructured representation RJ Border University of Oxford, 2020 | 2 | 2020 |
| Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning R Border, N Chebrolu, Y Tao, JD Gammell, M Fallon arXiv preprint arXiv:2311.03484, 2023 | 1 | 2023 |
| Inferring surface geometry from point clouds for next best view planning R Border, JD Gammell, P Newman Joint Industry and Robotics Centres for Doctoral Training (CDTs) Symposium …, 2017 | 1 | 2017 |
| Autonomous aerial mapping and its applications for emergency response R Border, JD Gammell 2022 Workshop on Cyber Physical Systems for Emergency Response (CPS-ER), 19-23, 2022 | | 2022 |
Jonathan GammellAssistant Professor, Queen's UniversityVerificeret mail på queensu.ca
